I would argue the people that MLComp is trying to attract probably already know about common machine learning techniques. And if that is the case, they probably already know where to get good data (ie. Machine Learning Repository). I'm one of the machine learning researcher's you speak of, and I can tell you this is something I would not use--only because I apply the algorithms I create on problems that I'm interested in and can find data for. I don't ever think "gee, I've got this sweet algorithm, I wonder what it could be used for." Instead I think, "this algorithm does clustering really well, I bet it would work in this case". Then I go find that data. And data providers don't care what happens to their data--that's why they provide it.
Comments
I would argue the people that MLComp is trying to attract probably already know about common machine learning techniques. And if that is the case, they probably already know where to get good data (ie. Machine Learning Repository). I'm one of the machine learning researcher's you speak of, and I can tell you this is something I would not use--only because I apply the algorithms I create on problems that I'm interested in and can find data for. I don't ever think "gee, I've got this sweet algorithm, I wonder what it could be used for." Instead I think, "this algorithm does clustering really well, I bet it would work in this case". Then I go find that data. And data providers don't care what happens to their data--that's why they provide it.